skip to main content
10.1145/642611.642699acmconferencesArticle/Chapter ViewAbstractPublication PageschiConference Proceedingsconference-collections
Article

The bloodhound project: automating discovery of web usability issues using the InfoScentπ simulator

Published:05 April 2003Publication History

ABSTRACT

According to usability experts, the top user issue for Web sites is difficult navigation. We have been developing auto-mated usability tools for several years, and here we describe a prototype service called InfoScent™ Bloodhound Simula-tor, a push-button navigation analysis system, which auto-matically analyzes the information cues on a Web site to produce a usability report. We further build upon previous algorithms to create a method called Information Scent Absorption Rate, which measures the navigability of a site by computing the probability of users reaching the desired destinations on the site. Lastly, we present a user study involving 244 subjects over 1385 user sessions that show how Bloodhound correlates with real users surfing for in-formation on four Web sites. The hope is that, by using a simulation of user surfing behavior, we can reduce the need for human labor during usability testing, thus dramatically lower testing costs, and ultimately improving user experience. The Bloodhound Project is unique in that we apply a concrete HCI theory directly to a real-world prob-lem. The lack of empirically validated HCI theoretical model has plagued the development of our field, and this is a step toward that direction.

References

  1. Anderson, J. R., Pirolli, P. L. (1984) Spread of Activation. Journal of Experimental Psychology: Learning, Memory and Cognition, 10: pp. 791--798.Google ScholarGoogle ScholarCross RefCross Ref
  2. Bates, M.J. (1989). The design of browsing and berrypicking techniques for the online search interface. Online Review, 13(5): pp. 407--431.Google ScholarGoogle ScholarCross RefCross Ref
  3. Belkin, N. J. (1980). Anomalous states of knowledge as the basis for information retrieval. Canadian Journal of Information Science, 5, May 1980 (pp. 133--143).Google ScholarGoogle Scholar
  4. Blackmon, M. H., Polson, P.G., Kitajima, M., & Lewis, C. (2002). Cognitive walkthrough for the web. CHI 2002 Conference on Human Factors in Computing Systems. ACM Press, pp. 463--470. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Chakrabarti, S., B. Dom, P. Raghavan, S. Rajagopalan, D. Gibson, and J. Kleinberg. (1998) Automatic resource compilation by analyzing hyperlink structure and associated text. In Proc. Of the 7th International World Wide Web Conference (WWW7) (pp. 65--74), Brisbane, Australia. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Chi, E., P. Pirolli, and J. Pitkow. (2000) The scent of a site: A system for analyzing and predicting information scent, usage, and usability of a Web site. In Proceedings of the Conference on Human Factors in Computing Systems, CHI 2000, pp.161--168. Hague, Netherlands. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Chi, E.H., Pirolli, P., Chen, K., and Pitkow, J. (2001). Using information scent to model user information needs and actions on the Web. Proc. of the ACM Conference on Human Factors in Computing Systems, CHI 2001 (pp. 490--497), Seattle, WA. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Devore, Jay. (1987) Probability & Statistics for Engineering and the Sciences. 2nd Ed. Brooks/Cole Publishing: Monteray, CA.Google ScholarGoogle Scholar
  9. Heer, J., Chi, E.H. Separating the Swarm: Categorization Methods for User Access Sessions on the Web. In Proc. of ACM CHI 2002 Conference on Human Factors in Computing Systems, pp. 243--250. ACM Press, April 2002. Minneapolis, MN. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Huberman, B.A., Pirolli, P., Pitkow, J.E., and Lukose, R.M. (1998). Strong regularities in World Wide Web surfing. Science, April 3, 1998, vol. 280, num. 5360 (pp. 95--97).Google ScholarGoogle Scholar
  11. Ivory, M. Y., R. R. Sinha, and M. A. Hearst, (2001) "Empirically Validated Web Page Design Metrics," Proc. Human Factors in Computing Systems (CHI2001), pp. 53--60. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Kleinberg, J. M. (1998) Authoritative sources in a hyperlinked environment. In Proc. Of the 9th Annual ACM-SIAM Symposium on Discrete Algorithms, (pp. 668--677), San Francisco, CA. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Koman, Richard. (1998) The Scent of Information. WebReview, May, 1998. http://www.webreview.com/1998/05_15/strategists/05_15_98_1.shtmlGoogle ScholarGoogle Scholar
  14. Nielsen, J. http://www.useit.com/alertbox/20010819.html, August 19, 2001.Google ScholarGoogle Scholar
  15. Pirolli, P. and S.K. Card. (1999) Information foraging. Psychological Review. 106: p. 643--675.Google ScholarGoogle ScholarCross RefCross Ref
  16. Pirolli, Peter. (2000) A Web Site User Model Should at Least Model Something About Users. Internetwork-ing 3:1, Mar 2000. ITG Publications. http://www.internettg.org/newsletter/mar00/critique_max.htmlGoogle ScholarGoogle Scholar
  17. Reeder, R. W., Pirolli, P. and Card, S. K. (2001). WebEyeMapper and WebLogger: Tools for Analyzing Eye Tracking Data Collected in Web-use Studies. Pro-ceedings of CHI 2001, Seattle. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. Silva, I., B. Ribeiro-Neto, P. Calado, E. Moura, N. Ziviani. (2000) Link-based and Content-based Evidential Information in a Belief Network Model. In Proc. of the 21st ACM SIGIR Conference on Research and Development in Information Retrieval (pp.96--103). Athens, Greece. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. Spool, J.M., Scanlon, T., Snyder, C., and Schroeder, W. (1998). Measuring Website usability. Proceedings of the Conference on Human Factors in Computing Systems, CHI '98 (pp. 390), Los Angeles, CA. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Tilt, Chris. (2000) Response to Pirolli's Critique of MAX model. Internetworking 3:1, Mar 2000. ITG Publications. http://www.internettg.org/newsletter/mar00/response_critique_max.htmlGoogle ScholarGoogle Scholar
  21. Turtle, H., Croft, W. (1991) Evaluation of an inference network-based retrieval model. ACM Transactions on Information Systems, 9(3):187--222. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. WebCriteria SiteProfile. (2002) http://www.webcriteria.comGoogle ScholarGoogle Scholar

Index Terms

  1. The bloodhound project: automating discovery of web usability issues using the InfoScentπ simulator

                Recommendations

                Comments

                Login options

                Check if you have access through your login credentials or your institution to get full access on this article.

                Sign in
                • Published in

                  cover image ACM Conferences
                  CHI '03: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
                  April 2003
                  620 pages
                  ISBN:1581136307
                  DOI:10.1145/642611

                  Copyright © 2003 ACM

                  Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

                  Publisher

                  Association for Computing Machinery

                  New York, NY, United States

                  Publication History

                  • Published: 5 April 2003

                  Permissions

                  Request permissions about this article.

                  Request Permissions

                  Check for updates

                  Qualifiers

                  • Article

                  Acceptance Rates

                  CHI '03 Paper Acceptance Rate75of468submissions,16%Overall Acceptance Rate6,199of26,314submissions,24%

                  Upcoming Conference

                  CHI '24
                  CHI Conference on Human Factors in Computing Systems
                  May 11 - 16, 2024
                  Honolulu , HI , USA

                PDF Format

                View or Download as a PDF file.

                PDF

                eReader

                View online with eReader.

                eReader